GitHub

yanqianxuan/pytorch-image-classification-basics

Following papers are implemented using PyTorch. ResNeXt-29 8x64d 3.97 (1 run) 3.65 (average of 10 runs) 42h50m* ResNeXt-29 16x64d 3.58 (average of 10 runs) shake-shake-26 2x32d (S-S-I) 3.68 3.55 ...
ascopubs.org

Foundation Model Based on Routine Magnetic Resonance Imaging for Brain Tumor Molecular Profiling and Progression Prediction

To build a self-supervised magnetic resonance imaging (MRI) foundation model from routine clinical scans and to test whether it can support key glioma-related applications, including post-therapy ...
IEEE

Vocabulary-free Image Classification and Semantic Segmentation

Abstract: Large vision-language models revolutionized image classification and semantic segmentation paradigms. However, they typically assume a pre-defined set of categories, or vocabulary, at test ...
GitHub

PyTorch CNN Architecture Experimentation on Mini-ImageNet with Model Interpretability

This project presents a comprehensive deep learning study focused on Convolutional Neural Network (CNN) architecture experimentation and model interpretability using the Mini-ImageNet dataset. The ...
IEEE

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems

Abstract: Deep learning-based approaches to hyperspectral image analysis have attracted large attention and exhibited high performance in image classification tasks. However, deployment of deep ...